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Number Plate Recognition API

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Detail Description

Abstract

The Number Plate Recognition API is an AI-powered system that automatically detects and reads vehicle license plates from images or video streams. Using computer vision and optical character recognition (OCR) techniques, the system identifies plate regions, extracts characters, and converts them into readable text. This technology is widely used in traffic management, parking automation, toll collection, and security surveillance to improve efficiency and accuracy.


Existing System

  1. Manual vehicle number entry and verification
  2. RFID or barcode-based systems with limited adoption
  3. Time-consuming and prone to human error
  4. Limited real-time monitoring capabilities


Proposed System

  1. Automated plate detection using computer vision
  2. OCR-based character recognition for accurate results
  3. Real-time API for traffic and security systems
  4. Scalable solution for smart city applications


Software Requirements

  1. Python
  2. Libraries: OpenCV, TensorFlow/PyTorch, Tesseract OCR, NumPy
  3. Flask or FastAPI for API deployment
  4. Jupyter Notebook / VS Code


Hardware Requirements

  1. Minimum 4 GB RAM (8 GB recommended)
  2. Multi-core processor
  3. High-resolution camera for image capture
  4. GPU (optional for faster processing)
  5. Stable internet connection for API integration


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